| 英文摘要 |
This year's plan continues to optimize various system functions. In terms of optimizing the Water Pollution Sources Management System, this includes building functions for statistical analysis of water quality and quantity data for scheduled inspections, improving data statistics efficiency, archiving permit inspection data to enhance system performance, planning for intelligent customer service functions, improving the system’s reporting assistance functions based on user needs, and optimizing the existing complex query functions. Additionally, building electronic payment function.
In strengthening the River Water Quality Abnormal Reporting Platform, in addition to statistical analysis of the current reporting situation from county and city environmental protection bureaus, the system will also collect public nuisance complaints and media reports to analyze potential pollution hotspots, providing reference for subsequent management by competent authorities. Furthermore, a statistical analysis chart for reported cases will be built to quickly grasp pollution types, causes, and locations.
To enhance the functionality of the Water Quality Protection Geographic Information System, the system will evaluate the potential assistance it can provide and suggest improvements based on demonstration cases. It will overlay data from the National Land Management Agency's sewerage user takeover maps to monitor domestic wastewater discharge and assess its impact on surrounding water quality.
Additionally, in response to system updates, training sessions are held to help users understand the system's operation.Three sessions of seed training for review agencies have been held, and one additional training session has been organized to assist review agencies. The aim is to help users become familiar with the new system interface and ensure smooth transitions in related application and reporting processes.
In addition to system improvements,information security protection and system function maintenance are implemented.To ensure the correctness and integrity of data, maximize the efficiency of decision and execution could be maximized, and improve the effectiveness of water pollution prevention and control.
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